Contamination of environmental resources with synthetic biomolecules above permissible levels poses a serious challenge to human health and existence. Hospital waste, live stocks, effluent of pharmaceutical industries and domestic sewage plays an important role in exaggerating this problem. Fluoroquinolone (FQ) derivatives, potential veterinary and human antibiotics, are archetypal examples of such contaminants. Fluoroquinolone antibiotics are widely used in treatment of harmful Gram + ve and Gram -ve bacterial infections[1, 2]. DANO is an important FQ used to treat respiratory problems in cattle, pigs, and poultry. Its intake by dairy cattle results in higher DANO concentrations in milk, leading to antibiotic resistance in humans[3]. Therefore, ultra-trace detection of DANO in milk is necessitated before human consumption.
Several instrumental techniques, such as electrochemistry[4], HPLC[5], capillary electrophoresis[6] and Raman spectroscopy[7], have been utilized for determining FQs traces in physiological fluids, pharmacological products and food samples. Though these methods have high efficiency, sensitivity and accuracy but majority of them possess inherent limitations such as costly instrumentation, column congestion, poor reproducibility, tedious samples pre-treatment procedures and highly skilled manpower involvement, which capped their ability for easier and swift analysis of real samples. To address such issues, sensor based techniques are introduced for qualitative as well quantitative analysis of FQs. Fluorescence spectroscopy has gained popularity as an alternative method to other techniques due to its simple and quick operational procedure, low cost, high sensitivity, selectivity and reproducibility. Recently several fluorescent probes have been developed and tested for antibiotic detection. Organic semiconductor films are most researched material involved in development of biological and chemical sensor devices[8]. Graphene oxide[9], organic dyes[10] and quantum dots[11] are other materials incorporated as fluorescent sensors to detect antibiotics. Despite being commercialized, the above conventional sensors possess reduced selectivity and sensitivity for biomolecules [12]. Organic dyes based sensors have shorter life span (about 5 min) under visible light[10]. High toxicity, complicated size and surfaces, and bi or multi-exponential decay behavior are some major drawbacks of quantum dot based sensors[11]. To overcome reported drawbacks, metal organic frameworks (MOFs) based sensors have been introduced as potential substitute to other kind of sensors[13].
MOFs are a novel category of porous, crystalline materials constructed of metal ions/clusters that function as joints and are confined by multidirectional organic ligands that act as linkers in mesh topology. Extensive growth has been made in development of new MOFs due to inherent presence of some intriguing properties like high permeability and porosity, large surface area, chirality, unsaturated co-ordination sites and H-bonding ability between analyte and framework etc [14].
MOF UiO-67 sensor was synthesized by solvothermal method using Zr metal ion and 4, 4'-diphenyl dicarboxylic acid as an organic ligand. MOF’s fluorescence efficiency enhancement upto 1616% was observed when interacted with DANO moiety. MOF’s higher aqueous stability and lower detection limit proven its high sensing capability for DANO antibiotic, making it highly suitable for practical uses.